Srour Bernard, Hercberg Serge, Galan Pilar, Monteiro Carlos Augusto, Szabo de Edelenyi Fabien, Bourhis Laurent, Fialon Morgane, Sarda Barthélémy, Druesne-Pecollo Nathalie, Esseddik Younes, Deschasaux-Tanguy Mélanie, Julia Chantal, Touvier Mathilde
Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Nutritional Epidemiology Research Team (EREN), Center of Research in Epidemiology and StatisticS (CRESS), F-93017 Bobigny, France.
Département de Santé Publique, Hôpital Avicenne, F-93017, Bobigny Cedex, France, Bobigny, France.
BMJ Nutr Prev Health. 2023 Jun;6(1):108-118. doi: 10.1136/bmjnph-2022-000599. Epub 2023 Jun 8.
When considering health-related impacts of foods, nutrient profile and (ultra)processing are two complementary dimensions. The Nutri-Score informs on the nutrient profile dimension. Recently, mounting evidence linked ultraprocessed food consumption to various adverse health outcomes, independently of their nutrient profile. To inform consumers about each of these health-related dimensions of food, we tested, in a randomised controlled trial, if a graphically modified version 'Nutri-Score V.2.0', including a black 'ultraprocessed' banner, would improve the capacity of consumers to rank products according to their nutrient profile and to detect those ultra-processed, compared with a no-label situation.
21 159 participants included in the NutriNet-Santé web-cohort were randomly assigned to a control arm (no front-of-pack label) or an experimental arm (Nutri-Score 2.0) and were presented an online questionnaire with three sets of food products (cookies, breakfast cereals and ready-to-eat meals) to rank according to nutrient profile and to identify ultraprocessed foods. The primary outcome was objective understanding of nutrient profile and ultraprocessing, represented by a score of correct answers. Secondary outcomes were purchasing intentions and the healthiest-perceived product. Multinomial logistic regressions were performed.
The Nutri-Score V.2.0 increased the objective understanding of both the nutrient profile dimension (OR =29.0 (23.4-35.9), p<0.001) and the ultraprocessing dimension (OR=174.3 (151.4-200.5), p<0.001). Trends were similar for cookies, breakfast cereals and ready-to-eat meals. The Nutri-Score V.2.0 had a positive effect on purchasing intentions and on the products perceived as the healthiest.
This randomised controlled trial demonstrates the interest of a front-of-pack label combining the Nutri-Score (informing on the nutrient profile dimension) with an additional graphic mention, indicating when the food is ultraprocessed, compared with a no-label situation. Our results show that a combined label enabled participants to independently understand these two complementary dimensions of foods.
NCT05610930.
在考虑食品对健康的影响时,营养成分和(超)加工是两个相辅相成的维度。营养评分反映了营养成分维度。最近,越来越多的证据表明,超加工食品的消费与各种不良健康后果有关,而与它们的营养成分无关。为了让消费者了解食品与健康相关的各个维度,我们在一项随机对照试验中测试了一种图形修改版的“营养评分V.2.0”,其中包括一个黑色的“超加工”横幅,与无标签情况相比,是否能提高消费者根据营养成分对产品进行排名以及识别超加工产品的能力。
纳入NutriNet-Santé网络队列的21159名参与者被随机分配到对照组(无包装正面标签)或实验组(营养评分2.0),并收到一份在线问卷,其中包含三组食品(饼干、早餐谷物和即食餐),要求他们根据营养成分进行排名并识别超加工食品。主要结果是对营养成分和超加工的客观理解,以正确答案的得分表示。次要结果是购买意愿和被认为最健康的产品。进行了多项逻辑回归分析。
营养评分V.2.0提高了对营养成分维度(比值比=29.0(23.4-35.9),p<0.001)和超加工维度(比值比=174.3(151.4-200.5),p<0.001)的客观理解。饼干、早餐谷物和即食餐的趋势相似。营养评分V.2.0对购买意愿和被认为最健康的产品有积极影响。
这项随机对照试验表明,与无标签情况相比,一种将营养评分(反映营养成分维度)与额外图形提示相结合的包装正面标签很有意义,该图形提示能表明食品是否为超加工食品。我们的结果表明,这种组合标签使参与者能够独立理解食品的这两个相辅相成的维度。
NCT05610930。